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Cindy Li commented on YARN-291: ------------------------------- JunPing, I'm trying to find out where you handle different cases of commitTimeout, and getting to this in schedulerUtils.java: // TODO process resource over-commitment case (allocated containers // > total capacity) in different option by getting value of // overCommitTimeoutMillis. What's your thought on this? Are you working on it? In our case, we would need to set overCommitTimeoutMills to be >0, and the capacity(memory/vore) to be zero for node to be put into maintenance. What I would expect is: #1. The scheduler stops scheduling new application attempts to the node #2. Clean up containers on that node after overCommitTimeoutMills. >From my understanding, #1 is done once the capacity is set to 0, but what do >you plan to put there for #2? YARN-999 seems not solving #2. > [Umbrella] Dynamic resource configuration > ----------------------------------------- > > Key: YARN-291 > URL: https://issues.apache.org/jira/browse/YARN-291 > Project: Hadoop YARN > Issue Type: New Feature > Components: nodemanager, scheduler > Reporter: Junping Du > Assignee: Junping Du > Labels: features > Attachments: Elastic Resources for YARN-v0.2.pdf, > YARN-291-AddClientRMProtocolToSetNodeResource-03.patch, > YARN-291-CoreAndAdmin.patch, YARN-291-JMXInterfaceOnNM-02.patch, > YARN-291-OnlyUpdateWhenResourceChange-01-fix.patch, > YARN-291-YARNClientCommandline-04.patch, YARN-291-all-v1.patch, > YARN-291-core-HeartBeatAndScheduler-01.patch > > > The current Hadoop YARN resource management logic assumes per node resource > is static during the lifetime of the NM process. Allowing run-time > configuration on per node resource will give us finer granularity of resource > elasticity. This allows Hadoop workloads to coexist with other workloads on > the same hardware efficiently, whether or not the environment is virtualized. > More background and design details can be found in attached proposal. -- This message was sent by Atlassian JIRA (v6.1#6144)